Magnetic resonance imaging (MRI) is a tomographic method of medical imaging and examination of internal organs and tissues using the physical phenomenon of nuclear magnetic resonance (NMR). The method is based on the measurement of the electromagnetic response of atomic nuclei, most often hydrogen nuclei, namely their excitation by a certain combination of electromagnetic waves in a constant magnetic field of high intensity.<\/p>\n\n\n\n
This method produces high-contrast images of body tissues and is therefore widely used in medicine, in imaging brain, heart, muscle, and tumour tissue, as compared to other medical imaging methods (such as computed tomography or radiography).<\/p>\n\n\n\n
MRI is a non-invasive medical examination method that is widely used in medical diagnostics and monitoring the adequacy of a patient’s treatment. Unlike computed tomography and X-rays, this method does not expose the body to ionising radiation. Instead, the image is formed under the influence of a powerful magnetic field and electromagnetic waves with the use of computer processing to obtain clear detail of soft tissues, bones and other internal structures of the body. Contrast agents are often used to enhance image clarity. MRI can diagnose pathological changes that cannot be seen with other medical imaging methods.<\/p>\n\n\n\n
Side effects of MRI are unknown, but there are a number of contraindications.<\/p>\n\n\n\n
MRI techniques are constantly being improved. New sequences of electromagnetic pulses are being tested to visualise various body structures and new data processing methods are being applied, which allows for a high level of detail, for example, to image brain regions less than 1 mm thick.<\/p>\n\n\n\n
Scientists and companies from various industries are involved in improving the MRI procedure. In particular, Facebook has announced that it is working to teach artificial intelligence to read magnetic resonance imaging results faster. It is planned that the procedure time will be reduced from 30 minutes to 3 minutes, which, in turn, will reduce the price of the procedure. To implement the project, the corporation’s research centre received 3 million MRI scans, 10,000 of which were clinical. The images provided are confidential and do not contain any information protected by law. Together with Facebook, the FAIR AI laboratory and the Department of Radiology at NYU School of Medicine are working on the development.<\/p>\n\n\n\n
MRI of the brain<\/strong><\/p>\n\n\n\nMRI of the brain is used in neurosurgery and neurology, which allows for high accuracy in detecting pathology of brain tissue. Compared to CT scan, this method provides higher sensitivity in diagnosing small tumours and better visualisation of the posterior cranial fossa. The resulting image allows for a clear distinction between grey and white matter, which allows for the diagnosis of a number of pathological processes in the central nervous system, including demyelinating diseases, dementia, cerebrovascular diseases, neuroinfections and epilepsy. Since the examination produces multiple images with a few milliseconds interval, it allows to see the brain’s response to various stimuli, to investigate both functional and structural brain abnormalities, and to diagnose most mental disorders. The method is also used in MRI-guided stereotactic surgery – radiosurgery for the treatment of brain tumours, arteriovenous malformations and other diseases requiring surgical treatment.<\/p>\n\n\n\n
MRI of the cardiovascular system<\/strong><\/p>\n\n\n\nMRI of the cardiovascular system complements other imaging methods, such as echocardiography, cardiac CT and nuclear medicine. Its applications include examinations for coronary heart disease, cardiomyopathy, myocarditis, haemochromatosis, congenital heart disease, etc.<\/p>\n\n\n\n
MRI of the musculoskeletal system<\/strong><\/p>\n\n\n\nDiagnostics of diseases of the musculoskeletal system includes MRI of the spine, diagnostics of joint diseases and soft tissue tumours.<\/p>\n\n\n\n
<\/span>Electroencephalography (EEG)<\/span><\/h3>\n\n\n\n
The EEG is most commonly used to diagnose epilepsy, which causes abnormal EEG patterns. It is also used to diagnose sleep disorders, depth of anaesthesia, coma, encephalopathy and brain death. The EEG was used as the primary method for diagnosing tumours, stroke and other focal brain disorders, but as high-resolution anatomical images became available through magnetic resonance imaging (MRI) and computed tomography (CT), the use of the EEG declined. Despite its limited resolution, EEG continues to be a valuable tool for research and diagnosis. It is one of the few mobile methods available and has a temporal resolution in the millisecond range, which is not possible with CT, PET or MRI.<\/p>\n\n\n\n
<\/span>Examination Cost (Price)<\/span><\/h2>\n\n\n\nCost of examination according to the clinic’s price list<\/td> <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n